The covid19brazil R package has daily information on the
number of accumulated cases and accumulated deaths for the COVID-19
pandemic in Brazil. The information available in the package is
organized as follows:
brazil_total - Dataset with information about the new
Coronavirus (COVID-19) for Brazil as a wholebrazil_region - Dataset with information on the new
Coronavirus (COVID-19) for the five regions of Brazilbrazil_state - Information on the new Coronavirus
(COVID-19) for the twenty-seven Federative Units of Brazilbrazil_municipality - Information on the new
Coronavirus (COVID-19) for the 5,570 municipalities in BrazilTo install the package, one of the two standard methods
for installing packagesin R can be adopted. Directly
through the cran
(choosing the closest repository):
install.packages ("covid19brazil")Or even using the command below. In the latter case, the latest
version of the package will be installed.
# install.packages ("devtools")
devtools::install_github ("AlexandreLoures/covid19brazil")To obtain the most up-to-date version of the data on the new
coronavirus (COVID-19) pandemic in Brazil, use the
update_data command. Data is updated daily on Github (Dev)
version, however, the CRAN version
of the covid19brazil package is updated every month or two.
Don’t forget to restart the R session to load the new
data.
update_data ()data ("brazil_total")
head (brazil_total)
# region date epidWeek population accumCases newCases accumDeaths
# 1 Brasil 2020-02-25 9 210147125 0 0 0
# 2 Brasil 2020-02-26 9 210147125 1 1 0
# 3 Brasil 2020-02-27 9 210147125 1 0 0
# 4 Brasil 2020-02-28 9 210147125 1 0 0
# 5 Brasil 2020-02-29 9 210147125 2 1 0
# 6 Brasil 2020-03-01 10 210147125 2 0 0
# newDeaths newRecov followUp
# 1 0 0 0
# 2 0 1 0
# 3 0 1 0
# 4 0 0 1
# 5 0 1 1
# 6 0 1 1The graph below shows the number of cases accumulated in each Federative Unit of Brazil per 100,000 inhabitants (data for the day 2022-07-30).
Data source: Ministerio da Saude - Sistema Unico de Saude (SUS)
Below is the graph for the number of cases accumulated per 100,000 inhabitants for each of the five macro-regions in Brazil.
In turn, the next graph shows the number of deaths accumulated in each Federative Unit of Brazil per 100,000 inhabitants (data for the day 2022-07-30).
Data source: Ministerio da Saude - Sistema Unico de Saude (SUS)
The graph below shows the number of accumulated deaths per 100,000 inhabitants for each of Brazil’s five macro-regions.
library (ploty)
plot_ly(data = brazil_total,
x = ~ date,
y = ~home_confinement,
name = 'Home Confinement',
fillcolor = '#FDBBBC',
type = 'scatter',
mode = 'none',
stackgroup = 'one') %>%
add_trace( y = ~ hospitalized_with_symptoms,
name = "Hospitalized with Symptoms",
fillcolor = '#E41317') %>%
add_trace(y = ~intensive_care,
name = 'Intensive Care',
fillcolor = '#9E0003') %>%
layout(title = "Number of cases accumulated by region",
legend = list(x = 0.8, y = 0.9),
yaxis = list(title = "Number of Cases"),
xaxis = list(title = "Source: Ministerio da Saude (Sistema Unico de Saude"))p <- plot_ly(data = brazil_total,
x = ~ date,
y = ~home_confinement,
name = 'Home Confinement',
fillcolor = '#FDBBBC',
type = 'scatter',
mode = 'none',
stackgroup = 'one') %>%
add_trace( y = ~ hospitalized_with_symptoms,
name = "Hospitalized with Symptoms",
fillcolor = '#E41317') %>%
add_trace(y = ~intensive_care,
name = 'Intensive Care',
fillcolor = '#9E0003') %>%
layout(title = "Number of deaths accumulated by region",
legend = list(x = 0.8, y = 0.9),
yaxis = list(title = "Number of Deaths"),
xaxis = list(title = "Source: Ministerio da Saude (Sistema Unico de Saude"))